drug-binding-site-definition

You can define a docking box from a co-crystal ligand by providing the ligand coordinates, allowing the Skill to extract atom positions and compute padded bounding-box geometry that outputs a validated JSON specification with box center and dimensions in Angstroms.

The Skill calculates center coordinates and box dimensions for molecular simulation docking by parsing protein or ligand coordinate files, filtering alternate locations, computing padded bounding-box geometry, and validating the resulting JSON schema in Angstrom units for downstream virtual screening workflows.

Yes, the Skill leverages dependencies including RDKit, MDAnalysis, numpy, and pymol to parse coordinate files and generate a validated JSON docking box specification containing center coordinates and size_x/size_y/size_z dimensions that downstream drug-discovery workflows can directly consume.

The best way to transfer a binding pocket using ligand coordinates is to input the co-crystal ligand file so the Skill can compute the bounding-box geometry, apply padding and minimum box size constraints, and output a JSON specification anchoring the homology-based docking region in Angstrom units.

Yes, the generated docking box JSON specification supports an optional visualization step using pymol to sanity-check pocket coverage, ensuring the computed center coordinates and box dimensions correctly overlay the intended protein binding site before running downstream docking workflows.